package com.heima.datasync.service.impl;

import com.heima.common.exception.CustException;
import com.heima.datasync.mapper.ApArticleMapper;
import com.heima.datasync.service.EsDataService;
import com.heima.es.service.EsService;
import com.heima.model.article.pojos.ApArticle;
import com.heima.model.common.dtos.ResponseResult;
import com.heima.model.common.enums.AppHttpCodeEnum;
import com.heima.model.search.vos.SearchArticleVO;
import lombok.extern.slf4j.Slf4j;
import org.checkerframework.checker.index.qual.SameLen;
import org.springframework.beans.BeanUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.util.ArrayList;
import java.util.List;

/**
 * @作者 Azer
 * @创建日期 2021/12/3 19:36
 **/
@Service
@Slf4j
public class EsDataServiceImpl implements EsDataService {
    public static final String ARTICLE_INDEX_NAME="app_info_article";

    @Autowired
    private ApArticleMapper apArticleMapper;

    @Autowired
    private EsService<SearchArticleVO> esService;

    @Override
    public ResponseResult dataInit() {
        //判断索引库是否存在
        boolean isExist = esService.existIndex(ARTICLE_INDEX_NAME);
        if(isExist){
            esService.deleteIndex(ARTICLE_INDEX_NAME);
        }
        esService.createIndex(
                "{\n" +
                        "    \"mappings\":{\n" +
                        "        \"properties\":{\n" +
                        "            \"id\":{\n" +
                        "                \"type\":\"long\"\n" +
                        "            },\n" +
                        "            \"publishTime\":{\n" +
                        "                \"type\":\"date\"\n" +
                        "            },\n" +
                        "            \"layout\":{\n" +
                        "                \"type\":\"integer\"\n" +
                        "            },\n" +
                        "            \"images\":{\n" +
                        "                \"type\":\"keyword\",\n" +
                        "                \"index\": false\n" +
                        "            },\n" +
                        "           \"staticUrl\":{\n" +
                        "                \"type\":\"keyword\",\n" +
                        "                \"index\": false\n" +
                        "            },\n" +
                        "            \"authorId\": {\n" +
                        "          \t\t\"type\": \"long\"\n" +
                        "       \t\t},\n" +
                        "          \"title\":{\n" +
                        "            \"type\":\"text\",\n" +
                        "            \"analyzer\":\"ik_smart\"\n" +
                        "          }\n" +
                        "        }\n" +
                        "    }\n" +
                        "}", ARTICLE_INDEX_NAME
        );
        //批量导入数据：
        //一般建议是1000-5000个文档 如果你的文档很大 可以适当减少队列，大小建议是5-15MB 默认不能超过哦100M
        //如果数据库数据过多 建议分段批量插入
        //分页查询第一页文章数据
        List<ApArticle> apArticles = apArticleMapper.findAllArticles();
        if(apArticles==null || apArticles.size()==0){
            CustException.cust(AppHttpCodeEnum.SERVER_ERROR,"数据库文章信息不存在");

        }
        //遍历页码批量插入到索引库
        List<SearchArticleVO> list=new ArrayList<>();
        for (ApArticle record : apArticles) {
            //封装数据
            SearchArticleVO articleVO=new SearchArticleVO();
            BeanUtils.copyProperties(record,articleVO);
            list.add(articleVO);
        }
        esService.saveBatch(list,ARTICLE_INDEX_NAME);
        return ResponseResult.okResult();
    }
}
